Unsupervised hash retrieval based on multiple similarity matrices and text self-attention mechanism

Autor: Zhixin Li, Jingli Wu, Chuanwen Hou

Publikováno v: Applied Intelligence. 52:7670-7685

Cross-modal retrieval aims to find the similarity between different modal data, while the hash retrieval method improves retrieval efficiency. This paper proposes a cross-modal hash retrieval method based on multiple similarity matrices. This paper p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d5baaf0270d47b159610c2c905e8fd6
https://doi.org/10.1007/s10489-021-02804-6

Privacy-Enhanced Prototype-Based Federated Cross-Modal Hashing for Cross-Modal Retrieval.

Autor: Zuo, Ruifan, Zheng, Chaoqun, Li, Fengling, Zhu, Lei, Zhang, Zheng

Publikováno v: ACM Transactions on Multimedia Computing, Communications & Applications; Sep2024, Vol. 20 Issue 9, p1-19, 19p

Applicability Analysis of Bidding Strategy in Electricity Market.

Autor: Suyan Zhou, Fei Chen, Yahui Qiao, Wenzhe Zhang, Kaifeng Zhang, Kun Yuan, Xuemei Dai

Publikováno v: MATEC Web of Conferences; 12/7/2017, Vol. 139, p1-6, 6p

Untitled.

Publikováno v: Artificial Intelligence Applications & Innovations IFIP TC12 WG12.5 - Second IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI2005), September 7-9, 2005, Beijing, China; 2005, p1-1, 1p

Artificial Intelligence Applications and Innovations II : IFIP TC12 and WG12.5 - Second IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI-2005), Sept. 7-9, 2005, Beijing, China

Autor: Daoliang Li, Baoji Wang

Artificial Intelligence is one of the oldest and most exciting subfields of computing, covnering such areas as intelligent robotics, intelligent planning and scheduling, model-based reasoning, fault diagnosis, natural language processing, maching tra